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Uporaba merilnika profila za sledenje zvarne reže pri robotskem varjenju
ID Jeram, Domen (Author), ID Bračun, Drago (Mentor) More about this mentor... This link opens in a new window, ID Klobčar, Damjan (Comentor)

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Abstract
Za zagotavljanje kakovosti v robotskem varjenju potrebujemo varjence s ponovljivo in pravilno obliko zvarne reže. V praksi se med varjenci istega tipa pojavljajo variacije, katerim se prilagajamo s senzorji za sledenje zvarne reže. V sklopu diplomske naloge smo za namen sledenja zvarne reže razvili programsko opremo za laserski merilnik profila in jo prilagodili zajemu in obdelavi profilov v realnem času. Zasnovali smo preizkuševališča, na katerih smo programsko opremo testirali v laboratorijskem okolju in okolju brez varjenja. Ugotovili smo, da s pomočjo optičnih in programskih filtrov z razvito programsko opremo lahko zanesljivo izmerimo potek zvarne reže. Kot motilne veličine smo identificirali reflektivne površine, svetlobno sevanje obloka, svetlobo iz okolice, nestabilno mrežno povezavo in nezadostno moč napajalnika.

Language:Slovenian
Keywords:robotsko varjenje, sledenje zvarne reže, meritev profila površine, strojni vid, programska oprema
Work type:Bachelor thesis/paper
Typology:2.09 - Master's Thesis
Organization:FS - Faculty of Mechanical Engineering
Place of publishing:Ljubljana
Publisher:[D. Jeram]
Year:2024
Number of pages:XX, 50 str.
PID:20.500.12556/RUL-158254 This link opens in a new window
UDC:621.791:007.52:681.5(043.2)
COBISS.SI-ID:197691139 This link opens in a new window
Publication date in RUL:31.05.2024
Views:95
Downloads:25
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Secondary language

Language:English
Title:Use of laser profilometry for seam tracking in robotic welding
Abstract:
To ensure quality in robotic welding, we need workpieces with a repeatable and consistent shape of the weld seam. In practice, variations occur between workpieces of the same type, to which we adapt with use of seam tracking sensors. As part of the thesis, we developed software for a laser profilometer for the purpose of tracking the weld seam and adapted it to capture and process profiles in real time. We designed testbeds where we tested the software in a laboratory environment and in an environment without welding. We discovered that, with the help of optical and software filters, we can reliably measure the layout of the weld seam using developed software. We identified reflective surfaces, arc light radiation, ambient light, unstable network connection and insufficient power supply as disturbance variables.

Keywords:robotic welding, seam tracking, measurement of surface profile, computer vision, software

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